Table of Contents Author Guidelines Submit a Manuscript
Journal of Probability and Statistics
Volume 2009, Article ID 563281, 13 pages
http://dx.doi.org/10.1155/2009/563281
Research Article

Recovering Decay Rates from Noisy Measurements with Maximum Entropy in the Mean

Facultad de Ciencias, Instituto de Estudios Superiores de Administración IESA, Universidad Central de Venezuela, Caracas 1010, DF, Venezuela

Received 5 December 2008; Revised 26 February 2009; Accepted 30 March 2009

Academic Editor: Nikolaos Limnios

Copyright © 2009 Henryk Gzyl and Enrique Ter Horst. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Rousseeuw and S. Verboven, “Robust estimation in small samples,” Computational Statistics & Data Analysis, vol. 40, no. 4, pp. 741–758, 2002. View at Publisher · View at Google Scholar · View at MathSciNet
  2. J. Navaza, “The use of non-local constraints in maximum-entropy electron density reconstruction,” Acta Crystallographica. Section A, vol. 42, no. 4, pp. 212–223, 1986. View at Google Scholar
  3. D. Dacunha-Castelle and F. Gamboa, “Maximum d'entropie et probleme des moments,” Annales de l'Institut Henri Poincaré, vol. 26, pp. 567–596, 1990. View at Google Scholar
  4. W. Rudin, Functional Analysis, McGraw-Hill, New York, NY, USA, 1973.
  5. J. O. Berger, Statistical Decision Theory and Bayesian Analysis, Springer, Berlin, Germany, 2nd edition, 1985.
  6. H. Gzyl, “Ill-posed linear inverse problems and maximum entropy in the mean,” Acta Científica Venezolana, vol. 53, no. 2, pp. 74–93, 2002. View at Google Scholar
  7. C. Robert and G. Casella, Monte Carlo Statistical Methods, Springer Texts in Statistics, Springer, Berlin, Germany, 2005.